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omni-front/README.md

OMNI-FRONT

AI / ML Engineer


"The best way to predict the future is to invent it." — Alan Kay


LLM Systems · RAG Pipelines · Voice AI · Agent Architectures



Ad-Trafficking-Agent — Autonomous ad operations using Vertex AI + Gmail API + Ad Manager

AI_Agent — RAG-powered assistant with LangGraph, GPT-4o, MongoDB Atlas

ConstructIQ — Semantic search API for building permits — FastAPI, Pinecone

VoloHealthGPT — AI psychological support chatbot — Llama 3.1, RAG

rag-from-scratch — Building retrieval-augmented generation from zero

langchain-master-class — Chains, agents, tools, memory — hands-on notebooks



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  1. Ad-Trafficking-Agent Ad-Trafficking-Agent Public

    AI-powered ad trafficking automation using Google Cloud Vertex AI, Gmail API and Google Ad Manager

    Python 4

  2. AI_Agent AI_Agent Public

    RAG-powered AI assistant using LangGraph, LangChain, OpenAI GPT-4o and MongoDB Atlas vector search

    Python

  3. ConstructIQ ConstructIQ Public

    Semantic search API for building permits using vector embeddings, FastAPI & Pinecone

    Python

  4. rag-from-scratch rag-from-scratch Public

    Building RAG (Retrieval-Augmented Generation) pipelines from scratch

  5. Streamlit-Chatbot Streamlit-Chatbot Public

    PDF-upload chatbot built with Streamlit and OpenAI for document Q&A

    Python

  6. VoloHealthGPT VoloHealthGPT Public

    AI psychological support chatbot using Llama 3.1 with RAG architecture

    Python